Estimation in meta-analyses of mean difference and standardized mean difference

DOI10.1002/sim.8422zbMATH Open1546.62073MaRDI QIDQ6627282

Ilyas Bakbergenuly, David C. Hoaglin, Elena Kulinskaya

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

meta-analysisrandom-effects modelmean differencebetween-study variancestandardized mean difference

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• Robust variance estimation for random effects meta-analysis
• Testing the significance of a common risk difference in meta-analysis.
• Testing for Homogeneity in Meta-Analysis I. The One-Parameter Case: Standardized Mean Difference
• The bias of the commonly-used estimate of variance in meta-analysis
• Approximate interval for the between-group variance under heteroscedasticity
• Combining Statistical Evidence
• Assessing the Amount of Heterogeneity in Random‐Effects Meta‐Analysis
• A new generalized confidence interval for the among-group variance in the heteroscedastic one-way random effects model
• Estimating Heterogeneity Variance in Meta-Analysis
• ON THE COMPARISON OF SEVERAL MEAN VALUES: AN ALTERNATIVE APPROACH

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